Banerjee, A. K. et al. Setting the priorities straight-Species distribution models assist to prioritize conservation targets for the mangroves. Sci. Total Environ. 806, 150937 (2022).
Google Scholar
Duke, N. C. et al. A world without mangroves?. Science 317(5834), 41–42 (2007).
Google Scholar
Friess, D. A. Ecosystem services and disservices of mangrove forests: Insights from historical colonial observations. Forests 7(9), 183 (2016).
Google Scholar
Hu, W. et al. Mapping the potential of mangrove forest restoration based on species distribution models: A case study in China. Sci. Total Environ. 748, 142321 (2020).
Google Scholar
Blankespoor, B., Dasgupta, S. & Lange, G. M. Mangroves as a protection from storm surges in a changing climate. Ambio 46(4), 478–491 (2017).
Google Scholar
FAO. TheWorld’s Mangroves 1980–2005. Food and Agriculture Organization of the United Nations, Rome. http://www.fao.org/3/a1427e/a1427e00.htm. (2007).
Abd-El Monsef, H., Hassan, M. A. & Shata, S. Using spatial data analysis for delineating existing mangroves stands and siting suitable locations for mangroves plantation. Comput. Electron. Agric. 141, 310–326 (2017).
Google Scholar
Donato, D. C. et al. Mangroves among the most carbon-rich forests in the tropics. Nat. Geosci. 4, 293–297. https://doi.org/10.1038/ngeo1123 (2011).
Google Scholar
Aheto, D. W. et al. Community-based mangrove forest management: Implications for local livelihoods and coastal resource conservation along the Volta estuary catchment area of Ghana. Ocean Coast. Manag. 127, 43–54 (2016).
Google Scholar
Costanza, R. et al. Changes in the global value of ecosystem services. Glob. Environ. Chang. 26, 152–158. https://doi.org/10.1016/j.gloenvcha.2014.04.002 (2014).
Google Scholar
Stephanie, S. R. et al. Conservation and restoration of mangroves: Global status, perspectives, and prognosis. Ocean Coast. Manag. 154, 72–82. https://doi.org/10.1016/j.ocecoaman.2018.01.009 (2018).
Google Scholar
Friess, D. A. et al. Mangroves give cause for conservation optimism, for now. Curr. Biol. 30, R153–R154 (2020).
Google Scholar
Valiela, I., Bowen, J. L. & York, J. K. Mangrove forests: One of the world’s threatened major tropical environments: At least 35% of the area of mangrove forests has been lost in the past two decades, losses that exceed those for tropical rain forests and coral reefs, two other well-known threatened environments. Bioscience 51, 807–815. https://doi.org/10.1641/0006-3568(2001)051[0807:MFOOTW]2.0.CO;2 (2001).
Google Scholar
Feller, I. C. et al. Biocomplexity in mangrove ecosystems. Ann. Rev. Mar. Sci. 2, 395–417 (2010).
Google Scholar
Polidoro, B. A. et al. The loss of species: Mangrove extinction risk and geographic areas of global concern. PLoS ONE 5, e10095 (2010).
Google Scholar
IUCN. Global Assessments of Mangrove Losses and Degradation, 2016; https://www.iucn.org/sites/dev/files/content/documents/mangroveloss-brief-4pp-19.10.low_.pdf.
Sreelekshmi, S., Nandan, S. B., Kaimal, S. V., Radhakrishnan, C. K. & Suresh, V. R. Mangrove species diversity, stand structure and zonation pattern in relation to environmental factors—a case study at Sundarban delta, east coast of India. Reg. Stud. Mar. Sci. 35, 101111 (2020).
Sahana, M. et al. Assessing coastal island vulnerability in the Sundarban Biosphere Reserve, India, using geospatial technology. Environ. Earth Sci. 78(10), 1–22 (2019).
Google Scholar
FSI. India State of Forest Report. Forest Survey of India, Dehradun (2017).
Ellison, A. M., Mukherjee, B. B. & Karim, A. Testing patterns of zonation in mangroves: Scale dependence and environmental correlates in the Sundarbans of Bangladesh. J. Ecol. 88(5), 813–824 (2000).
Google Scholar
Sahana, M., Rehman, S., Sajjad, H. & Hong, H. Exploring effectiveness of frequency ratio and support vector machine models in storm surge flood susceptibility assessment: A study of Sundarban Biosphere Reserve, India. CATENA 189, 104450 (2020).
Google Scholar
Sahana, M. & Sajjad, H. Vulnerability to storm surge flood using remote sensing and GIS techniques: A study on Sundarban Biosphere Reserve, India. Rem. Sens. Appl. Soc. Env. 13, 106–120 (2019).
Chowdhury, M. Q. et al. Nature and periodicity of growth rings in two Bangladeshi mangrove species. IAWA J. 29(3), 265–276 (2008).
Google Scholar
Sarker, S. K., Reeve, R., Thompson, J., Paul, N. K. & Matthiopoulos, J. Are we failing to protect threatened mangroves in the Sundarbans world heritage ecosystem?. Sci. Rep. 6(1), 1–12 (2016).
Google Scholar
Iftekhar, M. S. & Saenger, P. Vegetation dynamics in the Bangladesh Sundarbans mangroves: A review of forest inventories. Wetlands Ecol. Manage. 16(4), 291–312 (2008).
Google Scholar
Siddiqi, N. A. In Mangrove forestry in Bangladesh, Institute of Forestry and Environmental Sciences. University of Chittagong, Chittagong, Bangladesh 201 (2001).
Lewis, R. R. III. Ecological engineering for successful management and restoration of mangrove forests. Ecol. Eng. 24(4), 403–418 (2005).
Google Scholar
Peterson, T. A., Papeş, M. & Eaton, M. Transferability and model evaluation in ecological niche modeling: A comparison of GARP and Maxent. Ecography 30, 550–560. https://doi.org/10.1111/j.0906-7590.2007.05102.x (2007).
Google Scholar
Stockwell, D. & Peters, D. The GARP modelling system: problems and solutions to automated spatial prediction. Int. J. Geogr. Inf. Sci. 13, 143–158. https://doi.org/10.1080/136588199241391 (1999).
Google Scholar
Guisan, A. & Thuiller, W. Predicting species distribution: Offering more than simple habitat models. Ecol. Lett. 8, 993–1009. https://doi.org/10.1111/j.1461-0248.2005.00792.x (2005).
Google Scholar
Phillips, S. J., Anderson, R. P. & Schapire, R. E. Maximum entropy modeling of species geographic distributions. Ecol. Model. 190, 231–259. https://doi.org/10.1016/j.ecolmodel.2005.03.026 (2006).
Google Scholar
Feng, Z. et al. Dynamics ofmangrove forests in Shenzhen Bay in response to natural and anthropogenic factors from 1988 to 2017. J. Hydrol. 591, 125271. https://doi.org/10.1016/j.jhydrol.2020.125271 (2020).
Google Scholar
Kaky, E. & Gilbert, F. Using species distribution models to assess the importance of Egypt’s protected areas for the conservation of medicinal plants. J. Arid Environ. 135, 140–146. https://doi.org/10.1016/j.jaridenv.2016.09.001 (2016).
Google Scholar
Pecchi, M. et al. Species distribution modelling to support forest management A literature review. Ecol. Model. 411, 108817 (2019).
Google Scholar
Spiers, J. A., Oatham, M. P., Rostant, L. V. & Farrell, A. D. Applying species distribution modelling to improving conservation-based decisions: A gap analysis of Trinidad and Tobago’s endemic vascular plants. Biodivers. Conserv. 27, 2931–2949 (2018).
Google Scholar
Elith, J. & Leathwick, J. R. Species distribution models: Ecological explanation and prediction across space and time. Annu. Rev. Ecol. Evol. Syst. 40, 677–697. https://doi.org/10.1146/annurev.ecolsys.110308.120159 (2009).
Google Scholar
Fois, M., Cuena-Lombraña, A., Fenu, G. & Bacchetta, G. Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions. Ecol. Model. 385, 124–132 (2018).
Google Scholar
Gilani, H., Goheer, M. A., Ahmad, H. & Hussain, K. Under predicted climate change: Distribution and ecological niche modelling of six native tree species in Gilgit-Baltistan, Pakistan. Ecol. Indic. 111, 106049 (2020).
Google Scholar
Ellison, A. M., Felson, A. J. & Friess, D. A. Mangrove rehabilitation and restoration as experimental adaptive management. Front. Mar. Sci. 7, 327. https://doi.org/10.3389/fmars.2020.00327 (2020).
Google Scholar
Ellison, A. M. Mangrove restoration: Do we know enough?. Restor. Ecol. 8(3), 219–229 (2000).
Google Scholar
Brown, B., Fadillah, R., Nurdin, Y., Soulsby, I., & Ahmad, R. CASE STUDY: Community Based Ecological Mangrove Rehabilitation (CBEMR) in Indonesia. In From small (12–33 ha) to medium scales (400 ha) with pathways for adoption at larger scales (> 5000 ha). SAPI EN. S. Surveys and Perspectives Integrating Environment and Society 7.2 (2014).
Rodríguez-Rodríguez, J. A., Mancera-Pineda, J. E. & Tavera, H. Mangrove restoration in Colombia: Trends and lessons learned. For. Ecol. Manage. 496, 119414 (2021).
Google Scholar
Romañach, S. S. et al. Conservation and restoration
of mangroves: Global status, perspectives, and prognosis. Ocean Coast Manag. 154, 72–82. https://doi.org/10.1016/j.ocecoaman.2018.01.009 (2018).
Google Scholar
Sulochanan, B. et al. Water and sediment quality parameters of the restored mangrove ecosystem of Gurupura River and natural mangrove ecosystem of Shambhavi River in Dakshina Kannada, India. Marine Pollution Bulletin 176, 113450. https://doi.org/10.1016/j.marpolbul.2022.113450 (2022).
Lovelock, C. E., Barbier, E. & Duarte, C. M. Tackling the mangrove restoration challenge. PLoS Biol. 20(10), e3001836 (2022).
Google Scholar
Lovelock, C. E. & Brown, B. M. Land tenure considerations are key to successful mangrove restoration. Nature Ecol. Evol. 3(8), 1135–1135 (2019).
Google Scholar
Su, J., Friess, D. A. & Gasparatos, A. A meta-analysis of the ecological and economic outcomes of mangrove restoration. Nat. Commun. 12(1), 1–13 (2021).
Google Scholar
Lee, S. Y., Hamilton, S., Barbier, E. B., Primavera, J. & Lewis, R. R. Better restoration policies are needed to conserve mangrove ecosystems. Nature Ecol. Evol. 3(6), 870–872 (2019).
Google Scholar
Chakraborty, S., Sahoo, S., Majumdar, D., Saha, S. & Roy, S. Future Mangrove suitability assessment of Andaman to strengthen sustainable development. J. Clean. Prod. 234, 597–614 (2019).
Google Scholar
Charrua, A. B., Bandeira, S. O., Catarino, S., Cabral, P. & Romeiras, M. M. Assessment of the vulnerability of coastal mangrove ecosystems in Mozambique. Ocean Coast. Manag. 189, 105145 (2020).
Google Scholar
Hu, W. et al. Predicting potential mangrove distributions at the global northern distribution margin using an ecological niche model: Determining conservation and reforestation involvement. For. Ecol. Manage. 478, 118517 (2020).
Google Scholar
Rodríguez-Medina, K., Yañez-Arenas, C., Peterson, A. T., Euán Ávila, J. & Herrera-Silveira, J. Evaluating the capacity of species distribution modeling to predict the geographic distribution of the mangrove community in Mexico. PLoS ONE 15(8), e0237701 (2020).
Google Scholar
Wang, Y. et al. Simulating spatial change of mangrove habitat under the impact of coastal land use: Coupling MaxEnt and Dyna-CLUE models. Sci. Total Environ. 788, 147914 (2021).
Google Scholar
Gopal, B. & Chauhan, M. Biodiversity and its conservation in the Sundarban mangrove ecosystem. Aquat. Sci. 68(3), 338–354 (2006).
Google Scholar
Sahana, M., Rehman, S., Paul, A. K. & Sajjad, H. Assessing socio-economic vulnerability to climate change-induced disasters: Evidence from Sundarban Biosphere Reserve, India. Geol. Ecol. Landsc. 5(1), 40–52 (2021).
Google Scholar
Giri, C. et al. Mangrove forest distributions and dynamics (1975–2005) of the tsunami-affected region of Asia. J. Biogeogr. 35(3), 519–528 (2008).
Google Scholar
Giri, C., Pengra, B., Zhu, Z., Singh, A. & Tieszen, L. L. Monitoring mangrove forest dynamics of the Sundarbans in Bangladesh and India using multi-temporal satellite data from 1973 to 2000. Estuar. Coast. Shelf Sci. 73(1–2), 91–100 (2007).
Google Scholar
Islam, S. N. & Gnauck, A. Effects of salinity intrusion in mangrove wetlands ecosystems in the Sundarbans: An alternative approach for sustainable management. Wetlands Monitor. Modell. Manag. 2007, 315 (2007).
Hazra, S., Ghosh, T., DasGupta, R. & Sen, G. Sea level and associated changes in the Sundarbans. Sci. Cult. 68(9/12), 309–321 (2002).
Purkait, B. Coastal erosion in response to wave dynamics operative in Sagar Island, Sundarban delta, India. Front. Earth Sci. China 3(1), 21–33 (2009).
Google Scholar
World Bank (2014). Building resilience for sustainable development of the Sundarbans: Strategy report (No. 20116; World Bank Other Operational Studies). The World Bank Group. https://ideas.repec.org/p/wbk/wboper/20116.html.
Das, M. A. H. U. A. Impact of commercial coastal fishing on the environment of Sundarbans for sustainable development. Asian Fish. Sci. 22(1), 157–167 (2009).
Hoq, M. E. An analysis of fisheries exploitation and management practices in Sundarbans mangrove ecosystem, Bangladesh. Ocean Coast. Manag. 50(5–6), 411–427 (2007).
Google Scholar
Census of India (2011). Primary census abstract, census of India. The government of India, Registrar General and Census Commissioner of India, Ministry of Home Affairs, New Delhi, India. https://censusindia.gov.in/nada/index.php/catalog/41021
Chowdhury, A. & Maiti, S. K. Assessing the ecological health risk in a conserved mangrove ecosystem due to heavy metal pollution: A case study from Sundarbans Biosphere Reserve, India. Hum. Ecol. Risk Assess. Int. J. 22(7), 1519–1541 (2016).
Google Scholar
Hajra, R. et al. Unravelling the association between the impact of natural hazards and household poverty: Evidence from the Indian Sundarban delta. Sustain. Sci. 12(3), 453–464 (2017).
Google Scholar
Sahana, M. & Sajjad, H. Assessing Influence of Erosion and Accretion on Landscape Diversity in Sundarban Biosphere Reserve, Lower Ganga Basin: A Geospatial Approach. In Quaternary Geomorphology in India, (eds Das, B. et al.) (Springer, Cham, 2019). https://doi.org/10.1007/978-3-319-90427-6_10 (2018).
Chaudhuri, A. B., Choudhury, A., Hussain, Z., & Acharya, G. Mangroves of the Sundarbans. Vol. I. India, The IUCN Wetlands Programme 247 (IUCN, 1994).
GBIF.org. GBIF Occurrence Download, 2018. https://www.gbif.org/. Avicennia marina: https://doi.org/10.15468/dl.vmlooq and R. mucronata: https://doi.org/10.15468/dl.ewnqnm (accessed March 2019).
Mandal, R. N. & Naskar, K. R. Diversity and classification of Indian mangroves: A review. Trop. Ecol. 49(2), 131–146 (2008).
Mandal, A. K., & Nandi, N. C. Fauna of Sundarban mangrove ecosystem, west Bengal, India, Vol. 3 (Zoological Survey of India, 1989).
Mitra, A. & Pal, S. The Oscillating Mangrove Ecosystem and the Indian Sundarbans (WWF-India-WBSO, 2002).
Naskar, K., & Guha Bakshi, D. N. Mangrove Swamps of the Sundarbans (Naya Prokash, 1987).
Barik, J. & Chowdhury, S. True mangrove species of Sundarbans delta, West Bengal, eastern India. Check list 10(2), 329–334. https://doi.org/10.15560/10.2.329 (2014).
IUCN 2018. The IUCN Red List of Threatened Species. Version 2018. 2018. Electronic database accessible, accessed 15 Nov 2018; http://www.iucnredlist.org.
Guyon, I. & Elisseeff, A. An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157–1182 (2003).
Google Scholar
Cavanaugh, K. C. et al. Climate-driven regime shifts in a mangrove–salt marsh ecotone over the past 250 years. Proc. Natl. Acad. Sci. 116(43), 21602–21608 (2019).
Google Scholar
Naskar, K. & Mandal, R. Ecology and Biodiversity of Indian Mangroves, Vol. 1 (Daya Books, 1999).
Figueiredo, F. O. et al. Beyond climate control on species range: The importance of soil data to predict distribution of Amazonian plant species. J. Biogeogr. 45(1), 190–200 (2018).
Google Scholar
Booth, T. H., Nix, H. A., Busby, J. R. & Hutchinson, M. F. BIOCLIM: The first species distribution modelling package, its early applications and relevance to most current MAXENT studies. Divers. Distrib. 20(1), 1–9 (2014).
Google Scholar
Asbridge, E., Lucas, R., Ticehurst, C. & Bunting, P. Mangrove response to environmental change in Australia’s Gulf of Carpentaria. Ecol. Evol. 6(11), 3523–3539 (2016).
Google Scholar
He, Q. & Silliman, B. R. Climate change, human impacts, and coastal ecosystems in the Anthropocene. Curr. Biol. 29(19), R1021–R1035. https://doi.org/10.1016/j.cub.2019.08.042 (2019).
Beaumont, L. J., Hughes, L. & Poulsen, M. Predicting species distributions: Use of climatic parameters in BIOCLIM and its impact on predictions of species’ current and future distributions. Ecol. Model. 186(2), 251–270 (2005).
Google Scholar
Guisan, A., Thuiller, W. & Zimmermann, N. E. Habitat Suitability and Distribution Models: With Applications in R (Cambridge University Press, 2017).
Google Scholar
Boyce, M. S., Vernier, P. R., Nielsen, S. E. & Schmiegelow, F. K. A. Evaluating resource selection functions. Ecol. Model. 157, 281–300 (2002).
Google Scholar
STR Annual Report. In Conservator of Forest & Field Director, Sundarban Tiger Reserve. Canning, West Bengal, India: Directorate of Forests, Government of West Bengal (2013–2014).
Segurado, P. & Araujo, M. B. An evaluation of methods for modelling species distributions. J. biogeogr. 31(10), 1555–1568. https://doi.org/10.1111/j.1365-2699.2004.01076.x (2004).
Kadmon, R., Farber, O. & Danin, A. A systematic analysis of factors affecting the performance of climatic envelope models. Ecol. Appl. 13(3), 853–867. https://doi.org/10.1890/1051-0761(2003)013[0853:ASAOFA]2.0.CO;2 (2003).
Wisz, M. S. et al. Effects of sample size on the performance of species distribution models. Divers. distribut. 14(5), 763–773. https://doi.org/10.1111/j.1472-4642.2008.00482.x (2008).
Simard, M. et al. Mangrove canopy height globally related to precipitation, temperature and cyclone frequency. Nat. Geosci. 12(1), 40–45 (2019).
Google Scholar
Hoguane, A. M., Hill, A. E., Simpson, J. H. & Bowers, D. G. Diurnal and tidal variation of temperature and salinity in the Ponta Rasa mangrove swamp, Mozambique. Estuar. Coast. Shelf S. 49(2), 251–264. https://doi.org/10.1006/ecss.1999.0499 (1999).
Google Scholar
Sanders, C. J. et al. Are global mangrove carbon stocks driven by rainfall? J. Geophys. Res. Biogeosci. 121(10), 2600–2609. https://doi.org/10.1002/2016JG003510 (2016).
Srivastava, J., Farooqui, A. & Seth, P. Pollen-vegetation relationship in surface sediments, Coringa mangrove ecosystem, India: palaeoecological applications. Palynology 43(3), 451–466. https://doi.org/10.1080/01916122.2018.1458755 (2019).
Nandy, P., Das, S., Ghose, M. & Spooner-Hart, R. Effects of salinity on photosynthesis, leaf anatomy, ion accumulation and photosynthetic nitrogen use efficiency in five Indian mangroves. Wetlands Ecol. Manage. 15(4), 347–357 (2007).
Google Scholar
Washington, W., Kathiresan, K. & Bingham, B. L. Biology of mangroves and mangrove ecosystems. Adv. Mar. Biol. 2001, 40 (2001).
Blasco, F., Aizpuru, M. & Gers, C. Depletion of the mangroves of Continental Asia. Wetlands Ecol. Manage. 9(3), 255–266 (2001).
Google Scholar
Datta, D. & Deb, S. Forest structure and soil properties of mangrove ecosystems under management scenarios: Experiences from the intensely humanized landscape of Indian Sunderbans. Ocean Coast. Manag. 140, 22–33 (2017).
Google Scholar
Wahid, S. M., Babel, M. S. & Bhuiyan, A. R. Hydrologic monitoring and analysis in the Sundarbans mangrove ecosystem, Bangladesh. J. Hydrol. 332(3–4), 381–395 (2007).
Google Scholar
Iftekhar, M. S. & Islam, M. R. Degeneration of Bangladesh’s Sundarbans mangroves: A management issue. Int. For. Rev. 6(2), 123–135 (2004).
Saenger, P. Mangrove Ecology, Silviculture, and Conservation (Kluwer Academic Publishers, 2002).
Google Scholar
Feka, Z. N. Sustainable management of mangrove forests in West Africa: A new policy perspective?. Ocean Coast. Manag. 116, 341–352. https://doi.org/10.1016/j.ocecoaman.2015.08.006 (2015).
Google Scholar
Giri, S. et al. A study on abundance and distribution of mangrove species in Indian Sundarban using remote sensing technique. J. Coast Conserv. 18, 359–367. https://doi.org/10.1007/s11852-014-0322-3 (2014).
Google Scholar
Moschetto, F. A., Ribeiro, R. B. & De Freitasa, D. M. Urban expansion, regeneration and socioenvironmental vulnerability in a mangrove ecosystem at the southeast coastal of São Paulo, Brazil. Ocean Coast. Manag. 24, 105418. https://doi.org/10.1016/j.ocecoaman.2020.105418 (2020).
Google Scholar
Tuholskea, C., Tane, Z., López-Carra, D., Roberts, D. & Cassels, S. Thirty years of land use/cover change in the Caribbean: Assessing the relationship between urbanization and mangrove loss in Roatán, Honduras. Appl. Geogr. 88, 84–93. https://doi.org/10.1016/j.apgeog.2017.08.018 (2017).
Google Scholar
Kantharajan, G. et al. Vegetative structure and species composition of mangroves along the Mumbai coast, Maharashtra, India. Reg. Stud. Mar. Sci. 19, 1–8 (2018).
Marcinko, C. L. et al. The development of a framework for the integrated assessment of SDG trade-offs in the Sundarban Biosphere Reserve. Water 13(4), 528 (2021).
Google Scholar
Sahana, M. et al. Assessing Wetland ecosystem health in Sundarban Biosphere Reserve using pressure-state-response model and geospatial techniques. Remot. Sens. Appl. Soc. Environ. 26, 100754. https://doi.org/10.1016/j.rsase.2022.100754 (2022).
Saha, S., & Choudhury, A. Vegetation Analysis of Restored And Natural Mangrove Forest In Sagar Island, Sundarbans, East Coast of India. Indian J. Mar. Sci. 24, 133–136. http://nopr.niscpr.res.in/bitstream/123456789/37297/1/IJMS%2024%283%29%20133-136.pdf (1995).
Balke, T. & Friess, D. A. Geomorphic knowledge for mangrove restoration: A pantropical categorization. Earth Surf. Process. Landf. 41, 231–239. https://doi.org/10.1002/esp.3841 (2016).
Google Scholar
Alongi, D. M. Mangrove forests of timor-leste: Ecology, degradation and vulnerability to climate change. In Mangrove ecosystems of Asia 199–212 (Springer, 2014).
Biswas, S. R., Mallik, A. U., Choudhury, J. K. & Nishat, A. A unified framework for the restoration of Southeast Asian mangroves—bridging ecology, society and economics. Wetlands Ecol. Manage. 17(4), 365–383 (2009).
Google Scholar
Dubey, S. K., Censkowsky, U., Roy, M., Chand, B. K., & Dey, A. Framework for rapid evaluation of a mangrove restoration site: A case study from Indian Sundarban. In Sabkha Ecosystems 363–378 (Springer, 2019).
Islam, M. M. & Shamsuddoha, M. Coastal and marine conservation strategy for Bangladesh in the context of achieving blue growth and sustainable development goals (SDGs). Environ. Sci. Pol. 87, 45–54. https://doi.org/10.1016/j.envsci.2018.05.014 (2018).
Google Scholar
Bosire, J., Celliers, L., Groeneveld, J., Paula, J. & Schleyer, M.H. Regional State of the Coast Report-Western Indian Ocean. UNEP-Nairobi Convention and WIOMSA 546 (2015).
Owuor, M. A., Mulwa, R., Otieno, R., Icely, J. & Newton, A. Valuing mangrove biodiversity and ecosystem services: A deliberative choice experiment in Mida Creek, Kenya. Ecosyst. Serv. 40, 101040. https://doi.org/10.1016/j.ecoser.2019.101040 (2019).
Google Scholar
Barwell, L. et al. (2018). Regional
State of the Coast Report Western Indian Ocean. The United Nations Environment
Programme/Nairobi Convention Secretariat. https://wedocs.unep.org/handle/20.500.11822/9700?show=full
de Jesús Arce-Mojica, T., Nehren, U., Sudmeier-Rieux, K., Miranda, P. J. & Anhuf, D. Nature-based solutions (NbS) for reducing the risk of shallow landslides: where do we stand? Int. J. disaster risk reduct. 41, 101293. https://doi.org/10.1016/j.ijdrr.2019.101293 (2019).
Bardhan, M. An empirical study on mangrove restoration in Indian Sundarbans—a community-based environmental approach. In Modern Cartography Series, vol. 10 387–405 (Academic Press, 2021).
Kumar, M. C., Bholanath, M. & Debashis, S. Study on utility and revival through community approach in sundarbans mangrove. Int. J. Soc. Sci. https://doi.org/10.5958/2321-5771.2014.00101.X (2014).
Google Scholar
Chakraborty, S. K., Giri, S., Chakravarty, G. & Bhattacharya, N. Impact of eco-restoration on the biodiversity of Sundarbans Mangrove Ecosystem, India. Water Air Soil Pollut. Focus 9(3), 303–320 (2009).
Google Scholar
Paulson Institute. Research report on mangrove protection and restoration strategy in China, 2020; https://paulsoninstitute.org.cn/wpcontent/uploads/2020/06/%E4%B8%AD%E5%9B%BD%E7%BA%A2%E6%A0%91%E6%9E%97%E4%BF%9D%E6%8A%A4%E4%B8%8E%E6%81%A2%E5%A4%8D%E6%88%98%E7%95%A5%E7%A0%94%E7%A9%B6%E6%8A%A5%E5%91%8A%E2%80%94%E6%91%98%E8%A6%81%E7%89%88.pdf.
Fan, H. Q. & Wang, W. Q. Some thematic issues for mangrove conservation in China. J. Xiamen Univ. Nat. Sci 56, 323–330. https://doi.org/10.6043/j.issn.0438-0479.201612003 (2017).
Google Scholar
Wang, W., Fu, H., Lee, S. Y., Fan, H. & Wang, M. Can strict protection stop the decline of mangrove ecosystems in China? Fromrapid destruction to rampant degradation. Forests 11, 55. https://doi.org/10.3390/f11010055 (2020).
Google Scholar
Roy, A. K. D. & Alam, K. Participatory forest management for the sustainable management of the sundarbans mangrove forest. Am. J. Env. Sci. 8(5), 549–555. https://doi.org/10.3844/ajessp.2012.549.555 (2012).
Google Scholar
Selvam, V. et al. In Toolkit for establishing coastal bioshield. M. S. Swaminathan Research Foundation, Centre for Research on Sustainable Agriculture and Rural Development (2005).
Raju, J. S. S. N. Xylocarpus (Meliaceae): A less-known mangrove taxon of the Godavari estuary, India. Curr. Sci. 84(7), 879–881. https://www.currentscience.ac.in/Volumes/84/07/0879.pdf (2003).
Siddiqui, A. H. & Khair, A. Infestation status of heart rot disease of pasur (Xylocarpus mekongensis), tree in the sundarbans. Indian For. 138(2), 165–168 (2012).
Iqbal, M. & Hossain, M. Tourists’ willingness to pay for restoration of Sundarbans Mangrove forest ecosystems: A contingent valuation modeling study. Env. Dev. Sustain. 2022, 1–22 (2022).
Ekka, A. & Pandit, A. Willingness to pay for restoration of natural ecosystem: A study of Sundarban mangroves by contingent valuation approach. Indian J. Agric. Econ. 67, 902 (2012).
Datta, D., Chattopadhyay, R. N. & Guha, P. Community based mangrove management: A review on status and sustainability. J. Env. Manag. 107, 84–95. https://doi.org/10.1016/j.jenvman.2012.04.013 (2012).
Google Scholar
Ghosh, A., Schmidt, S., Fickert, T. & Nusser, M. The Indian Sundarban mangrove forests: History, utilization, conservation strategies and local perception. Diversity 7(2), 149–169. https://doi.org/10.3390/d7020149 (2015).
Google Scholar
Ranjan, R. Optimal mangrove restoration through community engagement on coastal lands facing climatic risks: The case of Sundarbans region in India. Land Use Policy 81, 736–749 (2019).
Google Scholar
Dutta, M., Roy, S. & Nibirh, S. Joint forest management and forest protection committees: Negotiation systems and the design of incentives—a case study of West Bengal. Electron. J. https://doi.org/10.2139/ssrn.2245965 (2001).
Google Scholar
McKee, K. L., Rooth, J. E. & Feller, I. C. Mangrove recruitment after forest disturbance is facilitated by herbaceous species in the Caribbean. Ecol. Appl. 17(6), 1678–1693 (2007).
Google Scholar
Begam, M. et al. Native salt-tolerant grass species for habitat restoration, their acclimation and contribution to improving edaphic conditions: A study from a degraded mangrove in the Indian Sundarbans. Hydrobiologia 803(1), 373–387 (2017).
Google Scholar
Donnelly, M. & Walters, L. Trapping of Rhizophora mangle propagules by coexisting early successional species. Estuaries Coasts 37, 1562–1571 (2014).
Google Scholar
Ren, H. et al. Sonneratia apetala Buch. Ham in the mangrove ecosystems of China: An invasive species or restoration species?. Ecol. Eng. 35(8), 1243–1248 (2009).
Google Scholar
Cheong, S.-M. et al. Coastal adaptation with ecological engineering. Nature Clim. Change 3, 787–791. https://doi.org/10.1038/nclimate1854 (2013).
Google Scholar
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